AI Development Company
Our artificial intelligence (AI) development services already power dozens of active engagements. We typically land our teams within 2 weeks, so you can start shipping top-quality software, fast.
500+ companies rely on our top 1% tech talent.
AI Development Services We Provide
Custom AI Solutions
ChatGPT has fundamentally changed the way we create content. Netflix and Amazon's recommendation engines make personalized product recommendations based on unique user preferences and habits. Siri and Alexa can understand vocal commands and respond with accurate information. AI-powered solutions are revolutionizing entire industry sectors.
From personalized treatment recommendation systems to adaptive learning platforms, we create specialized AI models and algorithms. Our AI developers leverage languages like Python to fine-tune your models or integrate them into existing systems. We ensure you meet business-specific goals and innovate at scale through AI technologies.
Machine Learning
How does Gmail know how to classify email as spam? That's largely due to logistic regression, a machine learning technique. Thanks to machine learning, computer systems can learn and improve from experience—all without human intervention. By analyzing and gaining insights from data, the model adjusts its parameters to make more accurate predictions.
Machine learning, a subset of AI, has become integral to our daily and professional lives. Using Python, Tensorflow, PyTorch, and more, we build models that fuel everything from predictive maintenance to disease diagnostics.
Predictive Analytics
Integrating AI into predictive analytics leads to more accurate and nuanced insights. With these data analytics, businesses can enhance business intelligence, make better decisions, and plan strategically.
We rely on data science languages, frameworks, and processing tools, including Python, R, Scikit-learn, and Apache Hadoop, to build predictive models. As they are exposed to more data points, these models become increasingly reliable. You'll achieve more precise insights and a better understanding of future scenarios.
Computer Vision
Stores use computer vision to automatically detect suspicious or unusual activities. Manufacturing companies leverage the technology to inspect products for defects on assembly lines. From image recognition to motion analysis, computer vision technology not only mimics but exceeds the capabilities of human vision.
Using convolutional neural networks, image processing libraries, and deep learning frameworks, we create sophisticated computer vision technologies for diverse industries.
Deep Learning
Deep learning models can analyze medical images to detect a range of diseases. This allows radiologists to diagnose and treat illnesses earlier. A subset of machine learning, deep learning processes huge volumes of data and understands complex patterns.
Building neural network architectures in deep learning models demands specialized skill sets and tools. We use GPU acceleration tools, AutoML platforms, data preprocessing tools, and more to build complex deep learning models—from virtual assistants to advanced driver-assistance systems.
Natural Language Processing
Create systems that can answer questions based on textual data. Automatically translate text into different languages. Easily convert spoken language into written text. Natural language processing (NLP) makes all this possible.
Our AI developers build NLP models for everything from text and sentiment analysis to machine translation and document classification. Through these services, you'll improve customer interactions, derive insights from text, and automate processes.
AI Chatbot Development
Chatbots are transforming fields like marketing and customer service with their ability to communicate with users, mirroring human conversation. They offer benefits beyond human capabilities, such as 24/7 availability, near-instantaneous response times, and multilingual support.
We create AI chatbots with platforms like Dialogflow, Natural Language Toolkit, and Google Cloud Speech-to-Text. The result? Intelligent chatbots that engage in human-like dialogue.
Rolls Royce case study
Rolls Royce turned to BairesDev to develop an efficient, user-friendly mobile app. A two-week discovery process with the Rolls Royce product owner identified a comprehensive list of functionalities, data streams, and displays required to meet their clients’ expectations for a mobile SDS. Read the entire Rolls Royce case study.
Why Choose BairesDev for AI Development?
Specialized Expertise
Our engineers have specialized expertise in AI technology. They also have skills in a wide range of niches, languages, and tools. We hire only the top 1% of tech talent and bring a high level of expertise to every project.
Bilingual, Nearshore Talent
Most of our AI experts are based in Latin America, meaning that they are time zone-aligned with much of the US. Our talent is fully bilingual, too. This enables real-time communication and collaboration—leading to better project outcomes.
Custom AI Solutions
We are a custom software development company that specializes in creating unique solutions across 100+ industry sectors. Our AI models are crafted according to your business objectives and specifications.
The AI Ecosystem We Used in Previous Work
Deep Learning Frameworks
Specialized computational libraries, tools, and environments designed for developing and training deep learning models.
- TensorFlow
- Microsoft Cognitive Toolkit (CNTK)
- Caffe
- Caffe2
- MxNet
- Keras
Machine Learning Libraries
Libraries that offer a wide array of machine learning algorithms and data processing tools for more traditional, non-deep learning tasks.
- Scikit-Learn
- NumPy
IDEs and Code Editors
Applications used for software development, including writing, debugging, and maintaining the source code.
- Visual Studio Code
- PyCharm
- Eclipse
Cloud-Based Machine Learning Services
Offer machine learning capabilities as a cloud service, enabling developers to build, train, and deploy models at scale without managing the underlying infrastructure.
- Amazon SageMaker
- Amazon Rekognition
- Amazon Polly
AI-Assisted Coding Tools
Utilize artificial intelligence to enhance the coding process, providing features like code completion, error correction, and other forms of intelligent assistance to improve developer productivity.
- GitHub Copilot
- Tabnine
Testing and Modelling
Tools that leverage AI to automate the testing of software and user interfaces, ensuring code quality and performance while reducing manual testing efforts.
- Testim
- Appvance
Key Things to Know About AI
Tailored Solutions for Every AI Project
Frequently Asked Questions (FAQ)
How can integrating artificial intelligence benefit my business?
Integrating artificial intelligence into your operations and services can benefit businesses across industries. Leveraging AI services enhances decision-making, improves user engagement, and automates key processes. For example, you can automate routine tasks, personalize consumer experiences, anticipate outcomes, enhance security, and gain valuable insights from data.
How do you guarantee the security and integrity of AI projects throughout the development lifecycle?
We implement a number of measures to ensure the security and integrity of your AI projects throughout development. These include signing an NDA, performing extensive security audits, implementing access control measures, following data protection and compliance policies, and conducting regular security training. These practices allow us to maintain confidentiality and integrity.
How does outsourcing to AI companies work?
Outsourcing to an external AI company involves working with an outside provider to deliver products that use artificial intelligence. Outsourcing providers may augment teams with specialized talent or additional experts or complete projects autonomously. We offer three engagement models, each providing a different level of service: staff augmentation, dedicated teams, and end-to-end software outsourcing.
What's the difference between AI and machine learning models?
While the terms "AI model" and "machine learning" are often used interchangeably, they are different but related concepts. Machine learning is a subfield of AI that focuses on identifying patterns and improving as the model gains more data. While all ML models are AI Models, the reverse is not true.
What do artificial intelligence companies do?
AI development companies build solutions that allow machines to perform tasks that usually require human intelligence. Some examples of these tasks include natural language processing, computer vision, data analysis, speech recognition, and decision-making. These companies create solutions and services for various industry sectors, including healthcare, manufacturing, finance, and more.
What is the purpose of an AI solution?
AI solutions have versatile applications and purposes. Usually, their goal is to automate complex tasks, improve efficiency, and enhance decision-making. These processes typically require human intelligence. Some examples include recognizing patterns, understanding natural language, analyzing data, and making predictions.
What are the typical roles on an AI team?
An AI team typically includes several different roles and specializations. Key roles are software engineers, data scientists, machine learning engineers, domain experts, AI research scientists, UX/UI designers, and project managers. These experts collaborate to build, implement, deploy, and maintain AI solutions.
What industries can benefit from AI development services?
AI services can benefit diverse industries, such as healthcare, manufacturing, finance, retail, transportation, education, logistics, and telecommunications. AI can enhance and automate operations, improve efficiency, address key challenges, and optimize processes.
How long does it take to develop an AI solution?
The timeline for developing AI solutions varies depending on factors like the project complexity, the data available, and the project goals and requirements. Usually, the timeline can range from a few weeks to a few months or longer.
How do you ensure the quality and accuracy of AI models?
We use a variety of techniques to ensure the quality and accuracy of your AI models. We conduct rigorous testing and validation, perform continuous monitoring, and regularly update the models based on new data or different conditions. Our methods include performance metrics analysis and cross-validation. We also solicit user feedback.
Can AI solutions be integrated with existing systems and workflows?
Yes, AI solutions can be integrated with existing systems and workflows. We ensure that integrations improve your current workflows with minimal disruption to your existing operations.
How do you handle data privacy and security in AI projects?
We prioritize data privacy and security in all AI projects. We implement robust data protection measures through techniques like anonymization and encryption. We also comply with relevant laws and regulations, such as GDPR.
How can AI solutions be customized for specific business needs?
AI solutions can be customized to address specific business needs. The process involves tailoring each model to address unique goals. We work closely with every client to understand their challenges and requirements and create a comprehensive plan to develop AI solutions that align with their objectives.
Can AI be used to improve cybersecurity?
Yes, AI can be used to improve cybersecurity. AI models analyze large quantities of data to recognize patterns that indicate cyber-attacks and identify potential threats. The process allows businesses to stay alert to threats and mitigate them in real-time.
How Businesses Can Overcome the Software Development Shortage
BairesDev Ranked as one of the Fastest-Growing Companies in the US by Inc. 5000
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